OBJECTIVE To optimize the processing technology of Epimedium koreanum roasted with suet oil and analyze its characteristic chromatogram before and after processing. METHODS The optimal processing technology was optimized by orthogonal experiments with frying power， frying time and medicinal temperature as factors using the comprehensive score of appearance traits （color+odor）， alcohol-soluble extract， the contents of icariin and baohuoside Ⅰ as evaluation index， then proceed with verification. The E. koreanum roasted with suet oil was prepared with the optimal technology. The characteristic chromatograms of 15 batches of E. koreanum were established with the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）， and then similarity analysis was also conducted. Clustering analysis， principal component analysis， and orthogonal partial least squares discriminant analysis were used to evaluate the differences in E. koreanum before and after processing. RESULTS The optimal processing technique for E. koreanum roasted with suet oil was as follows： first， heat 4 g of suet oil at a power of 600 W until it melts； next， when the temperature at the bottom of the pan reaches 140 ℃， add 20 g of E. koreanum silk and stir-fry for 6 minutes； finally， remove it and let it cool. Comprehensive score of 3 validation tests was 98.94 points　（RSD＜3%）. The established characteristic chromatogram of E. koreanum and E. koreanum roasted with suet oil were calibrated with 16 and 15 common peaks， respectively. Chromatographic peak 2 was determined to be chlorogenic acid， peak 5 to be chaohuoding A， peak 6 to be chaohuoding B， peak 7 to be chaohuoding C， peak 8 to be icariin， and peak 14 to be baohuoside Ⅰ. The similarities were all greater than 0.9. Results of cluster analysis and principal component analysis showed that E. koreanum and E. koreanum roasted with suet oil were clustered into distinct groups. The results of orthogonal partial least squares discriminant analysis showed that the variable importance projection values for peak 13， peak 15， peak 9， peak 1， peak 8， peak 12， peak 7， and peak 10 were all greater than 1. CONCLUSIONS The study successfully optimized the processing technology of suet oil-roasted E. koreanum. There are significant differences in the characteristic chromatograms of E. koreanum before and after processing. Among them， the chemical components corresponding to peak 13， peak 15， peak 9， peak 1， peak 8， peak 12， peak 7， and peak 10 may be the differential components of E. koreanum before and after processing.

The extracellular matrix provides a unique tissue-specific microenvironment for resident cells, supporting the essential functions required for tissue architecture and biochemical signaling. Decellularized extracellular matrix (dECM) is designed to eliminate cells that mediate immunological rejection while preserving the native tissue structure and matrix functionality. dECM has attracted significant attention in tissue engineering applications and has evolved into a novel and increasingly sophisticated biomaterial. This article summarizes representative protocols for decellularization methods, explores the latest applications of decellularized tissue-derived materials and bioinks in the field of cardiothoracic surgery, analyzes the current challenges and issues confronting dECM, and discusses future perspectives for its development.

Objective To investigate the predictive value of serum vasoactive intestinal peptide(VIP)and 5-hydroxytryptamine(5-HT)levels on the outcome of spinal cord electrical stimulation(SCS)in patients with postherpetic neuralgia(PHN).Methods A total of 96 PHN patients who received SCS treatment in Ziy-ang Central Hospital from January 2022 to December 2023 were selected.According to the disease outcomes of all PHN patients after 6 months of treatment,a good group(n=71)and a poor group(n=25)were set up.The clinical data of the two groups were collected and the serum VIP and 5-HT levels were detected in all pa-tients before treatment.The predictive value of serum VIP and 5-HT on disease outcome after SCS treatment in PHN patients was evaluated by receiver operating characteristic(ROC)curve,and the influencing factors of disease outcome after SCS treatment in PHN patients was explored by multivariate Logistic steppe gression a-nalysis.Results The levels of serum VIP and 5-HT in poor group were higher than those in good group(P＜0.05).The area under the curve(AUC)of serum VIP and 5-HT for predicting the disease outcome of PHN patients after SCS treatment were 0.829(95％CI:0.779-0.874)and 0.743(95％CI:0.693-0.793),respec-tively,and the AUC of combined prediction was 0.941(0.891-0.986).There were no significant differences in age,gender,body moss index,education,location of onset,hypertension and drinking history between the two groups(P＞0.05).The time of initial hospital admission in the poor group was longer than that in the good group,skin rash area in the poor group was larger than that in the good group,and diabetes mellitus and smoking history in the poor group were higher than those in the good group(P＜0.05).The time of admis-sion for initial treatment＞3 d(OR=2.188,95％CI:1.383-3.461),skin rash area＞10 cm2(OR=2.018,95％CI:1.283-3.173),diabetes mellitus(OR=2.264,95％CI:1.379-3.717),serum VIP level ≥41.78 ng/L(OR=3.022,95％CI:1.685-5.420),serum 5-HT level ≥99.27 ng/mL(OR=3.579,95％CI:1.885-6.793)were the influencing factors of disease outcome after SCS treatment in PHN patients(P＜0.05).Con-clusion The elevated levels of serum VIP and 5-HT before treatment are associated with poor outcomes after SCS in patients with PHN,and could be used as potential markers to predict the outcomes of SCS in patients with PHN.

BACKGROUND:Establishing a nomogram prediction model for postoperative pulmonary infection in hip fractures and taking early intervention measures is crucial for improving patients'quality of life and reducing medical costs. OBJECTIVE:To construct a nomogram risk prediction model of postoperative pulmonary infection in elderly patients with hip fracture,and provide theoretical basis for feasible prevention and early intervention. METHODS:Case data of 305 elderly patients with hip fractures who underwent surgical treatment at Wuxi Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine between January and October 2020(training set)were retrospectively analyzed.Using univariate and multivariate logistic regression analysis and Hosmer-Lemeshow goodness of fit test,receiver operating characteristic curve was utilized to analyze the diagnostic predictive efficacy of independent risk factors and joint models for postoperative pulmonary infections.Tools glmnet,pROC,and rms in R Studio software were applied to construct a nomogram model for predicting the risk of postoperative pulmonary infection in elderly patients with hip fractures,and calibration curves were further drawn to verify the predictive ability of the nomogram model.Receiver operating characteristic curves,calibration curves,and decision curves were analyzed for 133 elderly patients with hip fractures(validation set)receiving surgery at the same hospital from November 2022 to March 2023 to further predict the predictive ability of the nomogram model. RESULTS AND CONCLUSION:(1)The postoperative pulmonary infection rate in elderly patients with hip fractures in this group was 9.18%(28/305).(2)Single factor and multivariate analysis,as well as forest plots,showed that preoperative hospitalization days,leukocyte count,hypersensitive C-reactive protein,and serum sodium levels were independent risk factors(P<0.05).The Hosmer-Lemeshow goodness of fit test showed good fit(χ2=4.57,P=0.803).Receiver operating characteristic curve analysis was conducted on the independent risk factors and their joint models mentioned above,and the differentiation of each independent risk factor and joint model was good,with statistical significance(P<0.05).(3)The graphical calibration method,C-index,and decision curve were used to validate the nomogram prediction model.The predicted calibration curve was located between the standard curve and the acceptable line,and the predicted risk of the nomogram model was consistent with the actual risk.(4)The validation set used receiver operating characteristic curve,graphic calibration method,and decision curve to validate the prediction model.The results showed good consistency with clinical practice,indicating that the model had a good fit.The nomogram risk prediction model constructed for postoperative pulmonary infection in elderly patients with hip fractures has good predictive performance.The use of the nomogram risk prediction model can screen high-risk populations and provide a theoretical basis for early intervention.

Objectives:This study aims to explore the clinical significance of lateral pelvic sentinel lymph node biopsy (SLNB) using indocyanine green (ICG) fluorescence navigation in laparoscopic lateral pelvic lymph node dissection (LLND) and evaluate the accuracy and feasibility of this technique to predict the status of lateral pelvic lymph nodes (LPLNs).Methods:The clinical and pathological characteristics, surgical outcomes, lymph node findings and perioperative complications of 16 rectal cancer patients who underwent SLNB using ICG fluorescence navigation in laparoscopic LLND in the Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College during April 2017 and October 2022 were retrospectively collected and analyzed. The patients did not receive preoperative neoadjuvant radiotherapy and presented with LPLNs but without LPLN enlargement (MRI showed the maximum short axes of the LPLNs were ≥5 mm and <10 mm at first visit).Results:All 16 patients were successfully performed SLNB using ICG fluorescence navigation in laparoscopic LLND. Three patients underwent bilateral LLND and 13 patients underwent unilateral LLND. The lateral pelvic sentinel lymph nodes (SLNs) were clearly fluorescent before dissection in 14 patients and the detection rate of SLNs for these patients was 87.5%. Lateral pelvic SLN metastasis was diagnosed in 2 patients and negative results were found in 12 patients by frozen pathological examinations. Among the 14 patients in whom lateral pelvic SLNs were detected, the dissected lateral pelvic non-SLNs were all negative. All dissected LPLNs were negative in two patients without fluorescent lateral pelvic SLNs. The specificity, sensitivity, negative predictive value, and accuracy was 85.7%, 100%, 100%, and 100%, respectively.Conclusions:This study indicates that lateral pelvic SLNB using ICG fluorescence navigation shows promise as a safe and feasible procedure with good accuracy. This technique may replace preventive LLND for locally advanced lower rectal cancer.

Diabetic nephropathy (DN) is a common kidney disease in diabetic patients. Long non-coding RNA maternally expressed gene 3 (MEG3) and microRNA (miR)-23c are reported to be implicated in DN development. Nevertheless, it is unclear that the molecular mechanism between MEG3 and miR-23c in DN remains unclear. Methods: Human mesangial cells (HMCs) were treated with high glucose (HG) to simulate the DN status in vitro. Expression of MEG3 and miR-23c was measured. Effects of MEG3 silencing on HG-stimulated HMC injury were determined. The relationship between MEG3 and miR-23c was verified by the dual-luciferase reporter and RNA immunoprecipitation assays. Results: MEG3 was overexpressed in serums from DN patients and HG-stimulated HMCs. MEG3 knockdown weakened HG-stimulated HMC proliferation, extracellular matrix (ECM) accumulation, and inflammation. MEG3 regulated lin-28 homolog B (LIN28B) expression through adsorbing miR-23c. MiR-23c inhibitor reversed MEG3 knockdown-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. LIN28B overexpression overturned miR-23c mimic-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. Conclusion: MEG3 regulated HMC injury via regulation of the miR-23c/LIN28B axis in DN, which can help us better understand the mechanism of DN mediated by MEG3.

Diabetic nephropathy (DN) is a common kidney disease in diabetic patients. Long non-coding RNA maternally expressed gene 3 (MEG3) and microRNA (miR)-23c are reported to be implicated in DN development. Nevertheless, it is unclear that the molecular mechanism between MEG3 and miR-23c in DN remains unclear. Methods: Human mesangial cells (HMCs) were treated with high glucose (HG) to simulate the DN status in vitro. Expression of MEG3 and miR-23c was measured. Effects of MEG3 silencing on HG-stimulated HMC injury were determined. The relationship between MEG3 and miR-23c was verified by the dual-luciferase reporter and RNA immunoprecipitation assays. Results: MEG3 was overexpressed in serums from DN patients and HG-stimulated HMCs. MEG3 knockdown weakened HG-stimulated HMC proliferation, extracellular matrix (ECM) accumulation, and inflammation. MEG3 regulated lin-28 homolog B (LIN28B) expression through adsorbing miR-23c. MiR-23c inhibitor reversed MEG3 knockdown-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. LIN28B overexpression overturned miR-23c mimic-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. Conclusion: MEG3 regulated HMC injury via regulation of the miR-23c/LIN28B axis in DN, which can help us better understand the mechanism of DN mediated by MEG3.

Diabetic nephropathy (DN) is a common kidney disease in diabetic patients. Long non-coding RNA maternally expressed gene 3 (MEG3) and microRNA (miR)-23c are reported to be implicated in DN development. Nevertheless, it is unclear that the molecular mechanism between MEG3 and miR-23c in DN remains unclear. Methods: Human mesangial cells (HMCs) were treated with high glucose (HG) to simulate the DN status in vitro. Expression of MEG3 and miR-23c was measured. Effects of MEG3 silencing on HG-stimulated HMC injury were determined. The relationship between MEG3 and miR-23c was verified by the dual-luciferase reporter and RNA immunoprecipitation assays. Results: MEG3 was overexpressed in serums from DN patients and HG-stimulated HMCs. MEG3 knockdown weakened HG-stimulated HMC proliferation, extracellular matrix (ECM) accumulation, and inflammation. MEG3 regulated lin-28 homolog B (LIN28B) expression through adsorbing miR-23c. MiR-23c inhibitor reversed MEG3 knockdown-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. LIN28B overexpression overturned miR-23c mimic-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. Conclusion: MEG3 regulated HMC injury via regulation of the miR-23c/LIN28B axis in DN, which can help us better understand the mechanism of DN mediated by MEG3.

Diabetic nephropathy (DN) is a common kidney disease in diabetic patients. Long non-coding RNA maternally expressed gene 3 (MEG3) and microRNA (miR)-23c are reported to be implicated in DN development. Nevertheless, it is unclear that the molecular mechanism between MEG3 and miR-23c in DN remains unclear. Methods: Human mesangial cells (HMCs) were treated with high glucose (HG) to simulate the DN status in vitro. Expression of MEG3 and miR-23c was measured. Effects of MEG3 silencing on HG-stimulated HMC injury were determined. The relationship between MEG3 and miR-23c was verified by the dual-luciferase reporter and RNA immunoprecipitation assays. Results: MEG3 was overexpressed in serums from DN patients and HG-stimulated HMCs. MEG3 knockdown weakened HG-stimulated HMC proliferation, extracellular matrix (ECM) accumulation, and inflammation. MEG3 regulated lin-28 homolog B (LIN28B) expression through adsorbing miR-23c. MiR-23c inhibitor reversed MEG3 knockdown-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. LIN28B overexpression overturned miR-23c mimic-mediated effects on HG-stimulated HMC proliferation, ECM accumulation, and inflammation. Conclusion: MEG3 regulated HMC injury via regulation of the miR-23c/LIN28B axis in DN, which can help us better understand the mechanism of DN mediated by MEG3.

Objective:To explore the diagnostic value of magnetic resonance imaging (MRI) Q-Dixon fat quantification technique in differentiating vertebral metastases from hemangiomas in cancer patients.Methods:A retrospective analysis was conducted on 20 patients with vertebral metastases and 8 with vertebral hemangiomas who underwent vertebral MRI scans at the National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College from December 2021 to December 2023. Two radiologists independently measured the fat fractions (FF) in three areas (the lesion area, the normal area of the same vertebra, and the normal area of an adjacent vertebra) and evaluated the consistency of measurements. Group differences were tested using independent sample t-tests or Mann-Whitney U tests, and diagnostic performance was assessed by plotting the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC). Results:There was very high inter-observer consistency in the FF measurements across the three regions. The FF in the lesion areas of vertebral metastases group was significantly lower than that in the vertebral hemangioma group (13.8 ± 11.5 vs. 56.5 ± 22.1), there was statistical difference ( P<0.01). There were no significant differences in the FF of normal vertebral areas between the two groups ( P>0.05). ROC curve analysis showed that FF could differentiate vertebral metastases from hemangiomas with an AUC of 0.931, a specificity of 90%, and a sensitivity of 87.5%. Conclusions:The FF measured by the Q-Dixon quantitative fat technique can accurately differentiate between vertebral hemangiomas and vertebral metastases, providing more precise guidance for the diagnosis of vertebral lesions.